Survey respondents strongly disagree about return risks and, increasingly, macroeconomic uncertainty. This may have contributed to higher asset prices through increased use of collateralisation, which allows risk-neutral investors to realise perceived gains from trade. Investors with lower risk...

This Paper shows that price rigidity evolves in an economy populated by imperfectly rational agents who experiment with alternative rules of thumb. In the model, firms must set their prices in the face of aggregate shocks. The payoff depends on the level of aggregate demand, as well as on their...

We study the extent to which self-referential adaptive learning can explain stylized asset pricing facts in a general equilibrium framework. In particular, we analyze the effects of recursive least squares and constant gain algorithms in a production economy and a Lucas type endowment economy....

Within a simple model of monetary policy for an open economy, we study how foreign exchange intervention may be used to condition agents' beliefs of the objectives of the policymakers. Differently from cheap talk foreign exchange intervention guarantees a unique equilibrium. Foreign exchange...

We study a general static noisy rational expectations model, where investors have private information about asset payo¤s, with common and private components, and about their own exposure to an aggregate risk factor, and derive conditions for existence and uniqueness (or multiplicity) of...

Using a large representative sample of Indian retail equity investors, many of them new to the stock market, we show that both years of investment experience and feedback from investment returns have significant effects on investor behavior, favored stock styles, and performance. We identify two...

We develop a multi-period model of strategic trading in an asset market where traders are uncertain about market liquidity. In our model, informed traders strategically trade against competitive market makers to exploit their short-lived private information. Unlike market makers, informed...

We present a decision theoretic framework with agents that are learning about the behavior of market determined variables. Agents are 'internally rational', i.e., maximize discounted expected utility under uncertainty given consistent beliefs about the future, but may not be 'externally...

With only minimal restrictions on security payoffs and trader preferences, noisy aggregation of heterogeneous information drives a systematic wedge between the impact of fundamentals on the price of a security, and the corresponding impact on cash flow expectations. From an ex ante perspective,...

We present a model of quantitative trading as an automated system under human supervision. Contrary to previous literature we show that price-contingent trading is the profitable equilibrium strategy of large rational agents in efficient markets. The key ingredient is uncertainty about whether a...